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[期刊]Algorithm Rebuilding and Performance Optimization of MapReduce in Hadoop

[日期:2015-02-07] 来源:jairo.nii.ac.jp  作者:Zhao Ben [字体: ]

Algorithm Rebuilding and Performance Optimization of MapReduce in Hadoop

Zhao Ben

According toanalyzing mapreduce principles and performance indicators, in heterogeneous environments, unreasonable resource scheduling, data transmission and system parameters are summarized. By rebuilding algorithms and optimizing performances, sliding window scheduling algorithm (SWSA), changing transfer protocol from HTTP to UDT and optimization of system configuration parameters arc proposed. At last, this paper compares performance difference of MapReduce before optimization with after optimization. The algorithms arc verified by experiments, rebuilding and optimization greatly improve performance of hadoop.


Algorithm Rebuilding and Performance Optimization of MapReduce in Hadoop

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